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Review Paper

Use of biochar as an additive in concrete

Biochar is a high-carbon product produced by the thermal decomposition of organic biomass in an oxygen-free environment. It is mainly used for soil improvement and fertilization purposes, but this study aims to explore the possibility of using biochar as an additional benefit to concrete, which is often used as a material by humans. A literature review revealed several studies in which biochar was successfully used as an additive. The good effect of biochar on the mechanical properties of concrete is based on its nucleation and densification effect, but the internal microstructure, porosity, and chemical composition of biochar mainly depend on the raw material, product, and production type. These tests include investigating the effect of adding different concentrations and amounts of biochar and the cement substitution level on the new product and concrete material, as well as investigating the cement content and the energy balancing potential for the concrete mix.

Published by: Soundarya Das, Vishnu Gurudutt

Author: Soundarya Das

Paper ID: V9I2-1408

Paper Status: published

Published: September 16, 2023

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Research Paper

“Enabling sustainable water resource management through dynamic spatial planning in Visakhapatnam city”

Urban evolution is at the heart of this discussion, where site-specific art's transformation prompts the emergence of alternative viewpoints and strategies in response to its dwindling conventional impact. The ongoing discourse on site specificity, its cross-disciplinary dimension, and its role as a cultural conduit are explored. The literature review delves into the interplay of site-specific art, urban dynamics, and cultural identity, navigating historical underpinnings and contemporary shifts. Focusing on urban planning in Visakhapatnam, the study employs advanced computational tools to craft an adaptable structure plan accommodating diverse growth scenarios. Methodologically, quantitative analysis using secondary sources, stakeholder engagement, GIS tools, and exemplar cases play pivotal roles. Emphasis is placed on efficient water distribution and resilient infrastructure. Collaborative urban planning emerges as a linchpin for sustainable water management in the conclusion. Ultimately, the dynamic spatial planning approach offers a roadmap for fostering urban resilience in Visakhapatnam.

Published by: Amrutha B., Saiteja Beesetti, Allu Revathi Devi

Author: Amrutha B.

Paper ID: V9I2-1447

Paper Status: published

Published: September 16, 2023

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Research Paper

Evaluation of limestone resources in parts of Palnad basin, Nalgonda district, Telangana

Palnad Basin is the storehouse of limestone which is equivalent to the Narji limestones of the Kurnool Basin. Krishna stream cut over the Palnad Basin generally is EW course and limestones uncovered on either side. Palnad Basin covers parts of Nalgonda district of Telangana and the Krishna & Guntur districts of Andhra Pradesh. The Palnad limestones are lithologically similar to the Narji limestones of the Kurnool basin (Madhusudhan Rao, 1964). (Madhusudhan Rao, 1964). They are well exposed on either side of the Krishna River to the North of river Krishna in Nalgonda, to the South of river Krishna in Guntur district of Andhra Pradesh, and to the East of river Krishna in Krishna district of Andhra Pradesh. Nalgonda district is located in the southern part of Telangana state in India and encompasses an area of roughly 14,240 square kilometers. The district has abundant natural resources, including limestone, and quartz. The geology of Nalgonda district is diversified, with rocks ranging in age from the Archean to the Quaternary. The district is separated into four major geological units: the Archean Gneissic Complex, the Proterozoic Cuddapah Supergroup, the Mesozoic Deccan Traps, and the Recent Alluvium. Limestones display a considerable range in hue viz., purple, green, pale green, chocolate, buff, dark grey, and light grey. The limestones are fine-grained with shallow dips across the whole basin, but rolling dips are not unusual. Limestone resources evaluated in

Published by: Raju Macharla, A. Narsing Rao

Author: Raju Macharla

Paper ID: V9I5-1141

Paper Status: published

Published: September 15, 2023

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Review Paper

Analyzing the potential role of Artificial Intelligence in overcoming limitations of robots in space exploration

Robotic systems are an integral part of space exploration missions. These robots can explore and navigate extraterrestrial terrain and can survive in the harsh environments of space. Autonomous navigation and mapping capabilities are just some of the components that are essential for us to efficiently traverse and gather scientific data. This research paper aims to explore the application of artificial intelligence (AI) techniques in enhancing the exploration efficiency of planetary robots. The paper also discusses the limitations of robots in space exploration and outlines how AI can be used to overcome them.

Published by: Siddharth Kannan

Author: Siddharth Kannan

Paper ID: V9I5-1138

Paper Status: published

Published: September 12, 2023

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Research Paper

Improving performance in Central Sterile Supply Department(CSSD) management through performance measurements utilizing user satisfaction surveys and intervention.

Surgical procedures leading to surgical site infections, and medical procedures associated with iatrogenic infections can be made negligible with sterilization and decontamination of instruments and medical devices The Central Sterile Services Department (CSSD) is the hub in the hospital working to provide sterile instruments and packs to all areas of the hospital. The quality of services provided by the CSSD Department in AIIMS Bibinagar regarding the processing as well as the service was to be assessed by all the user departments. The questionnaire was devised after discussion and distributed to the end-user personnel. There were 19 questions addressing the timing, etiquette, equipment, damages, delays, validation as well as feedback regarding improvement. There were a total of 107 respondents of whom 87 were nursing officers and 25 were doctors from medical, surgical, obstetric, orthopedic, ENT, and ophthalmological specialties. The data collected was collated in Microsoft Excel and descriptive analysis was done. The results showed that more than 90% were satisfied with the validation process, the packing of items, the etiquette of the personnel, and the cleanliness of the equipment. Critical responses to consider for intervention included a lack of awareness regarding the indicators and the validation of the sterilization process, nearly 68% lacked knowledge of this. Further, there was dissatisfaction regarding updates and any recent innovations in the system. Only 62% were overall satisfied with the CSSD service, with 11% not sure as to what can be improved. Interventions to improve the services to address the issues raised from the feedback were created utilizing the available resources

Published by: Dr. S. Kalyani Surya Dhana Lakshmi, Dr. A. Bhargav Ram, Rahul K.

Author: Dr. S. Kalyani Surya Dhana Lakshmi

Paper ID: V9I5-1139

Paper Status: published

Published: September 12, 2023

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Research Paper

Liver disease detection using Machine Learning techniques

Liver disease is the leading reason of death worldwide, The liver is responsible for metabolic, strength-storing, and waste-filtering functioning in your body. The aim of this study is to develop a machine learning-based technique for liver disease prediction in people. This study on liver disease detection models is meant to determine the best techniques for selecting and synthesizing the many studies of high quality. The majority of health data is nonlinear, correlation-structured, and complex, making it complex to evaluate. The use of ML-based techniques in healthcare has been ruled out. This work uses various machine learning algorithms like decision trees, Naïve Bayes, SVM, Random Forest, CatBoost, and Soft Voting Classifier on the Indian Liver patient dataset to predict liver disease. The research work gives the correct or maximum accuracy model showing that the model is able to predict liver diseases effectively. Our end result shows that the Voting classifier attains higher accuracy as compared to other machine-learning models

Published by: Taranpreet Kaur, Dr.Vinay Chopra

Author: Taranpreet Kaur

Paper ID: V9I5-1136

Paper Status: published

Published: September 11, 2023

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